import os
import json
import time
import web
import numpy as np
import uuid
from PIL import Image
from flask import Flask
from flask import render_template

app = Flask(__name__)

web.config.debug  = False

filelock='file.lock'
if os.path.exists(filelock):
   os.remove(filelock)

from config import *
from apphelper.image import union_rbox,adjust_box_to_origin,base64_to_PIL
from application import trainTicket,idcard
if yoloTextFlag =='keras' or AngleModelFlag=='tf' or ocrFlag=='keras':
    if GPU:
        os.environ["CUDA_VISIBLE_DEVICES"] = str(GPUID)
        import tensorflow as tf
        from keras import backend as K
        config = tf.ConfigProto()
        config.gpu_options.allocator_type = 'BFC'
        config.gpu_options.per_process_gpu_memory_fraction = 0.3## GPU最大占用量
        config.gpu_options.allow_growth = True##GPU是否可动态增加
        K.set_session(tf.Session(config=config))
        K.get_session().run(tf.global_variables_initializer())

    else:
      ##CPU启动
      os.environ["CUDA_VISIBLE_DEVICES"] = ''

if yoloTextFlag=='opencv':
    scale,maxScale = IMGSIZE
    from text.opencv_dnn_detect import text_detect
elif yoloTextFlag=='darknet':
    scale,maxScale = IMGSIZE
    from text.darknet_detect import text_detect
elif yoloTextFlag=='keras':
    scale,maxScale = IMGSIZE[0],2048
    from text.keras_detect import  text_detect
else:
     print( "err,text engine in keras\opencv\darknet")

from text.opencv_dnn_detect import angle_detect

if ocr_redis:
    ##多任务并发识别
    from apphelper.redisbase import redisDataBase
    ocr = redisDataBase().put_values
else:
    from crnn.keys import alphabetChinese,alphabetEnglish
    if ocrFlag=='keras':
        from crnn.network_keras import CRNN
        if chineseModel:
            alphabet = alphabetChinese
            if LSTMFLAG:
                ocrModel = ocrModelKerasLstm
            else:
                ocrModel = ocrModelKerasDense
        else:
            ocrModel = ocrModelKerasEng
            alphabet = alphabetEnglish
            LSTMFLAG = True

    elif ocrFlag=='torch':
        from crnn.network_torch import CRNN
        if chineseModel:
            alphabet = alphabetChinese
            if LSTMFLAG:
                ocrModel = ocrModelTorchLstm
            else:
                ocrModel = ocrModelTorchDense

        else:
            ocrModel = ocrModelTorchEng
            alphabet = alphabetEnglish
            LSTMFLAG = True
    elif ocrFlag=='opencv':
        from crnn.network_dnn import CRNN
        ocrModel = ocrModelOpencv
        alphabet = alphabetChinese
    else:
        print( "err,ocr engine in keras\opencv\darknet")

    nclass = len(alphabet)+1
    if ocrFlag=='opencv':
        crnn = CRNN(alphabet=alphabet)
    else:
        crnn = CRNN( 32, 1, nclass, 256, leakyRelu=False,lstmFlag=LSTMFLAG,GPU=GPU,alphabet=alphabet)
    if os.path.exists(ocrModel):
        crnn.load_weights(ocrModel)
    else:
        print("download model or tranform model with tools!")

    ocr = crnn.predict_job


from main import TextOcrModel

model =  TextOcrModel(ocr,text_detect,angle_detect)


billList = ['通用OCR','火车票','身份证']
import base64
def test():
    t = time.time()
    #data = web.data()
    uidJob = uuid.uuid1().__str__()
    data = {"billModel":"","imgString":"","textAngle":"True"}

    billModel = data.get('billModel','')
    textAngle = data.get('textAngle',False)##文字检测
    textLine = data.get('textLine',False)##只进行单行识别


    data['imgString'] = 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"
    imgString = data['imgString'].encode().split(b';base64,')[-1]
    img = base64_to_PIL(imgString)
    if img is not None:
        img = np.array(img)

    H,W = img.shape[:2]

    while time.time()-t<=TIMEOUT:
        if os.path.exists(filelock):
            continue
        else:
            with open(filelock,'w') as f:
                f.write(uidJob)

            if textLine:
                ##单行识别
                partImg = Image.fromarray(img)
                text    = crnn.predict(partImg.convert('L'))
                res =[ {'text':text,'name':'0','box':[0,0,W,0,W,H,0,H]} ]
                os.remove(filelock)
                break

            else:
                detectAngle = textAngle
                result,angle= model.model(img,
                                            scale=scale,
                                            maxScale=maxScale,
                                            detectAngle=detectAngle,##是否进行文字方向检测，通过web传参控制
                                            MAX_HORIZONTAL_GAP=100,##字符之间的最大间隔，用于文本行的合并
                                            MIN_V_OVERLAPS=0.6,
                                            MIN_SIZE_SIM=0.6,
                                            TEXT_PROPOSALS_MIN_SCORE=0.1,
                                            TEXT_PROPOSALS_NMS_THRESH=0.3,
                                            TEXT_LINE_NMS_THRESH = 0.99,##文本行之间测iou值
                                            LINE_MIN_SCORE=0.1,
                                            leftAdjustAlph=0.01,##对检测的文本行进行向左延伸
                                            rightAdjustAlph=0.01,##对检测的文本行进行向右延伸
                                           )

                if billModel=='' or billModel=='通用OCR' :
                    result = union_rbox(result,0.2)
                    res = [{'text':x['text'],
                            'name':str(i),
                            'box':{'cx':x['cx'],
                                   'cy':x['cy'],
                                   'w':x['w'],
                                   'h':x['h'],
                                   'angle':x['degree']

                                  }
                           } for i,x in enumerate(result)]
                    res = adjust_box_to_origin(img,angle, res)##修正box

                elif billModel=='火车票':
                    res = trainTicket.trainTicket(result)
                    res = res.res
                    res =[ {'text':res[key],'name':key,'box':{}} for key in res]

                elif billModel=='身份证':

                    res = idcard.idcard(result)
                    res = res.res
                    res =[ {'text':res[key],'name':key,'box':{}} for key in res]

                os.remove(filelock)
                break


    timeTake = time.time()-t
    return {'res':res,'timeTake':round(timeTake,4)}


if __name__ == '__main__':
    print(json.dumps(test(),indent=4,ensure_ascii=False))